![]() ![]() Before we start comparing the two technologies, let’s do a quick high-level overview of both. You can also host a Prometheus instance in the cluster and then metrics are exported to CloudWatch using the CloudWatch adapter. As one of the workarounds, you can use CloudWatch exporter and export metrics from CloudWatch to a Prometheus instance. For example, currently, CloudWatch does not support Kubernetes metrics ( Issue link here). Simply install a CloudWatch exporter in one of your machines and run it: java -jar target/cloudwatchexporter-SNAPSHOT-jar-with-dependencies.jar 9106 example. The easiest way to gather all of your metrics is taking them directly from CloudWatch, as most events are logged there. Prometheus and CloudWatch are very different in the problem they solve and a 1-1 comparison seems unfair but as you start moving to cloud-native stack, Prometheus starts popping up in conversations and for many right reasons. Integration of CloudWatch Metrics with Prometheus. After you install the Prometheus cAdvisor and. This post will try to explore various aspects and pros and cons of both options individually and as a combination. You can use the Prometheus cAdvisor and Node Exporters to extract the raw metrics from the Kubernetes cluster. When an organization earlier using VMs in AWS decides to move to Kubernetes (Either EKS or self-managed in AWS), one of the questions that come up is should one continue to use CloudWatch or switch to some other tool like Prometheus? While it is not an exactly apple to apple comparison, there are reasons to explore this and choose tooling that is built for the future. ![]() Many companies are moving to Kubernetes as the platform of choice for running software workloads. This page describes how to set up a CloudWatch exporter in order to gather AWS metrics through the Prometheus provider.
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